CN103329137B - For the method and system that calculation optimization product uses - Google Patents

For the method and system that calculation optimization product uses Download PDF

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CN103329137B
CN103329137B CN201280006451.5A CN201280006451A CN103329137B CN 103329137 B CN103329137 B CN 103329137B CN 201280006451 A CN201280006451 A CN 201280006451A CN 103329137 B CN103329137 B CN 103329137B
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personal safety
safety equipment
product
analysis
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CN103329137A (en
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路易斯·A·兹彻尔四世
雷蒙德·W·莫里森
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Ansell Ltd
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    • G—PHYSICS
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations

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Abstract

The computer implemented method that a kind of calculation optimization product uses comprises: store company information as the floor plan comprising incorporate multiple classification levels; The reference data that the current production storing at least one application described in company organization uses; Carry out analyzing to determine that the optimization of at least one multiple product applied uses based on company information and reference data; And generate product use suggestion based on determined optimization use.

Description

For the method and system that calculation optimization product uses
Technical field
The embodiment of the present application relates generally to the method and system for optimizing, and particularly relates to and reduces and the method and system becoming original calculation optimization product to use based on product applicability, storage controlling, injury.
Background technology
Personal safety equipment (PPE) is applied to various different field, comprises construction, maintenance, manufacture, industry, engineering, research, health, exploitation and Military Application.Therefore, develop various dissimilar PPE and adapt to each concrete needs attempted.Usually PPE is evaluated according to the various measurement Laws of the applicability of instruction particular task.But, the decision-making of which kind of PPE not always simple decision-making is used for assigned tasks.When selecting correct PPE it is considered which type of the type of the danger of workplace existence and those danger may cause injure.In industry setting, great majority injury comes from four main hazard types, i.e. chemicals, scratch, cutting and heating power (heat or cold).Common hand injuries comprise hand and arm are caused tear or cut, the forfeiture of the amputation of hand, finger, thrust hand due to chemicals or the calcination caused due to fire, crushing material block, and cause the crushing injury of fracturing.Textile glove can protect hand to avoid dust, friction stimulates and abrasive injury, but hand can not be protected from injury that is coarse, sharp-pointed or heavy object.Chemicals may require to use thicker gloves, and task also may require soft and anti-skidding gloves.The seriousness of chemicals (splash/immerse) can for considering and control required in outdoor or wet environment on the one hand.The protected working gloves of some common types comprise anti-minimal irritation thing disposable glove, improve grasp and make hand and the textile glove that slight hot and cold isolate, prevent the leather gloves of the injury from Mars or scratch rough surface, the wire netting gloves used together with cutting tool or other sharp instrument, when to the aluminum gloves making hand and very hot isolation during such as melt operation, and chemical-resistant resistance gloves protecting hand to injure from erosion, oil and solvent.At present, exist for set application and determine correct gloves or the method for PPE.
But for set application, the most cheap PPE is the cost-benefit solution of most not necessarily.There is the various cost with using lower cost or more inappropriate PPE to be associated for set application.These comprise due to injured employee be unemployed caused loss of yield, change PPE cost and with injure the cost of actual medical expense be associated, only list several.The cost be associated with specific PPE can comprise the cost of the mean lifetime of PPE or the washing of PPE and disposal.But, cause employee the PPE of the higher cost of less injury thus to reduce and injure those costs be associated, the company that is as general as can be made to save.
Therefore, there is demand for enabling PPE consumer optimize its product purchase decision-making with the method and system for the use of calculation optimization product meeting PPE needs in this area.
Summary of the invention
Disclose the embodiment comprising the method and system used for calculation optimization product.In one embodiment, the computer implemented method of calculation optimization product comprises: company information is stored as the floor plan comprising incorporate multiple classification levels; Memory Reference data, the current production that described reference data describes at least one application in company organization uses; Carry out analyzing to determine that the optimization of multiple product at least one application described uses based on company information and reference data; And make to use for suggestion product based on determined optimization.
Accompanying drawing explanation
Fig. 1 is the simplified block diagram of the system for the use of calculation optimization product according to one or more embodiment;
Figure 1A is the block diagram of the module according to one embodiment of the present of invention, comprising the data processing module of Fig. 1;
Fig. 2 is the process flow diagram of the method for the use of calculation optimization product illustrated according to one or more embodiment;
Fig. 3 is the process flow diagram of the method for the use of calculation optimization product illustrated according to one or more embodiment;
Fig. 4 illustrates process flow diagram product being used to the method for analysis report establishment in-site measurement according to one or more embodiment;
Fig. 5 describes the block diagram using the file structure of analysis report for product according to one or more embodiment;
Fig. 6 illustrates the process flow diagram generating the method for the data input file of product use analysis report by being used for according to one or more embodiment;
Fig. 7 A and 7B is the schematic diagram using the tables of data of analysis report for generating product according to one or more embodiment;
Fig. 8 is the block diagram describing to use according to the product of one or more embodiment the structure of analysis report;
Fig. 9 is the process flow diagram of the method for manufacturing cost performance analysis report illustrated according to one or more embodiment;
Figure 10 illustrates the process flow diagram reducing the method for analysis report for generating injury according to one or more embodiment;
Figure 11 illustrates the process flow diagram reducing the method for data analysis report for generating SKU according to one or more embodiment;
Figure 12 is the process flow diagram of the method for generating control information analysis report illustrated according to one or more embodiment;
Figure 13 is the process flow diagram of the method for generating training information analysis report illustrated according to one or more embodiment;
Figure 14 is the process flow diagram of the method for generating processing waste analysis report illustrated according to one or more embodiment;
Figure 15 is the process flow diagram of the method for generating device analysis report illustrated according to one or more embodiment.
Although drawings describe for multiple embodiment and example the method and apparatus used for calculation optimization product herein by the mode of citing, it will be understood by those skilled in the art that the method and apparatus used for calculation optimization product is not limited to described embodiment or accompanying drawing.Should be understood that, drawings and detailed description are not intended to embodiment to be limited to particular forms disclosed.On the contrary, be intended to contain drop on as following claims all amendment in the spirit and scope of the method and apparatus used for calculation optimization product that limit, equivalent and substitute.Any title used herein is only the object of institutional framework, and is not intended to the scope limiting instructions or claims.As used herein, word " can " use with the implication of permitting (that is, meaning that there is possibility) instead of enforceable implication (that is, mean must).Similarly, word " comprises ", " including " and " comprising " mean and include but not limited to.
Embodiment
There is disclosed herein each embodiment of the computer implemented method and system used for calculation optimization product.Product uses to analyze and is combined with the data relevant with products application information, financial information etc. with company information, organizational information, product.These data are processed uses analysis report to generate product, and product uses analysis report can propose the improvement of product purchase and using forestland.The product that one embodiment of the present of invention analyze as the personal safety equipment (PPE) of such as industrial gloves uses.In another embodiment, PPE can be medical gloves, such as, checks or surgical glove.In other embodiments, other products can be analyzed use to assess product.
In the following detailed description, the complete understanding that many-sided detail provides the theme to claim has been set forth.But, it will be appreciated by those skilled in the art that the theme that can implement the claims when not having these details.In other cases, unspecified method known to ordinary skill in the art, device or system, thus the theme of claim can not be made to become unintelligible.
The some parts of detailed description is below that the form represented with the algorithm of the operation to the binary digital signal be stored in the storer of concrete device or dedicated computing device or platform or symbol presents.Under the background of this particular illustrative, term specific device etc. comprises multi-purpose computer, once it is programmed, just performs the specific function as special purpose computer according to the instruction from program software.Arthmetic statement or symbol represent it is that signal transacting or those of ordinary skill in the related art are used for the example of the technology passing on its work essence to others skilled in the art.Algorithm herein and be usually regarded as obtaining the operation of expected result or the independent sequence of similar signal processing.Within this context, operation or process relate to the physical manipulation of physical quantity.Usually, although dispensable, this tittle can be rendered as and can be stored, transmits, combines, relatively or otherwise handle or the form of electrical or magnetic signal of conversion.Verified, sometimes conveniently, in principle due to usual usage, claim these signals to be position, data, value, element, symbol, character, word, number, numeral etc.But should be understood that, all these or similar word will be associated with suitable physical quantity and only label for convenience.Unless specifically, otherwise it is evident that from discussion below, should understand and use such as the word such as " process ", " calculating ", " computing ", " determination " to refer to action or the process of the concrete device of such as special purpose computer or similar special electronic calculation element in the discussion of entire description.Therefore, under the background of this instructions, the signal being typically expressed as physical electronic or the quantity of magnetism in the storer of special purpose computer or similar special electronic calculation element, register or out of Memory memory storage, transmitting device or display device can be handled or change to special purpose computer or similar special electronic calculation element.Exemplary embodiment of the present invention relates to " personal safety equipment ".Be defined as personal safety equipment (PPE) and PPE Product Generalized gloves, face shield, cover glass, apron, the helmet and between must in office user may wear any miscellaneous equipment protected.
Fig. 1 is the simplified block diagram of the system 100 for the use of calculation optimization product, and calculation optimization product uses to comprise and generates product use analysis report.System 100 comprises server 102, communication network 104 and one or more client computer 106 1, 106 2106 n.Client computer 106 communicates with server 102 via communication network 104.In operation, client computer 106 send data to server 102 and receive from server 102 data with generates product use analysis report.
Server 102 comprises CPU (central processing unit) (CPU) 108, multiple support circuit 110 and storer 112.Support that circuit 110 can comprise other circuit of the function of display device and support CPU108.These circuit can comprise clock circuit, high-speed cache, power supply, network interface card, video circuit etc.
Storer 112 can comprise the digital storage equipment of ROM (read-only memory), random access memory, removable storer, disc driver, CD-ROM driver and/or other form.Storer 112 is configured to store metering 125 and one or more report 127 in the middle of operating system 120, product data 122, application data 124, server evaluates software 126, one group.Operating system 12 performs with the general operation of Control Server 102, includes to be beneficial to perform various process and module to perform specific tasks.Server evaluates software 126 utilizes product data 122, application data 124 and the data that receive from one or more client computer 106 to generate report 127.
Server evaluates software 126 comprises server synchronization module 132, data processing module 134 and report generation module 136.Server synchronization module 126 is conducive to passing data to one or more client computer 106 and transmitting data from one or more client computer 106.Data processing module 134 measures 125 in the middle of the data received from client computer 106 are carried out processing to generate one group together with product data 122 and application data 124.Product data 122 are the data of price, Performance Characteristics and the ability describing various product (such as personal safety equipment product).Application data 124 is describe to need the necessary characteristic of the various activities of product and the data for the specific threshold level that performs described activity.For PPE product, exemplary characteristic comprises tear resistance, intensity, resistance to crushing, inflammability, flexibility, chemical-resistant, liquid impermeability etc.Although product data 122 and application data 124 are described as being present on server 102 by this exemplary embodiment, those skilled in the art will appreciate that these data can be arranged on remote server or computing machine.In certain embodiments, product data 122 or application data 124 can be provided by long-range public database, and long-range public database provides by each standard body for various product and/or apply determined information.As depicted in fig. ia, data processing module 134 comprises multiple analysis module, and such as cost-performance module 150, injury module 152, SKU reduce module 154, control module 156, training module 158, processing waste module 159 and optimize module 160.Composition graphs 8-13 further describes the operation of each module in these modules.In brief, module 150-159 analyzes the various aspects that PPE uses in set place, and optimizes module 160 to analyzing the PPE solution gathering to determine to optimize.
Report generation module 136 measures 125 to generate report 127 in the middle of using one group.
Communication network 104 is convenient to the communication between server 102 and one or more client computer 106.Communication network 104 can be wired or wireless network and the combination thereof of any type known in the field.In certain embodiments, communication network 104 is packet switching network, such as the Internet at least in part.
Data are supplied to server 102 and receive data from server 102 by client computer 106.Client computer 106 comprises multiple calculation element, includes but not limited to desk-top computer, laptop computer, notebook, smart mobile phone, tablet computer and/or can perform client assessment software 130 and any other computer installation mutual with server 102.When being programmed by certain software, client computer 106 serves as special purpose computer, for sending data to server 102 and receiving data to generate the object that product uses analysis report from server 102.In certain embodiments, client computer 106 is can be transported to facility and transport with the mancarried device of input measurement data from facility.Client computer 106 comprises CPU114, multiple support circuit 116 and storer 118.
Support that circuit 116 can comprise other circuit of the function of display device and support CPU114.These circuit can comprise clock circuit, high-speed cache, power supply, network interface card, video circuit etc.
Storer 118 can comprise the digital storage equipment of ROM (read-only memory), random access memory, removable storer, disc driver, optical drive and/or other form.Storer 118 is configured to store operating system 128 and client assessment software 130.Client assessment software 130 allows the user of client computer 106 to input the data described for the PPE using forestland of particular clients.Then, server 102 makes such data syn-chronization use analysis report to generate product.
Client assessment software 130 comprises data input module 138, client synchronization module 140, Pre-Evaluation module 142, measurement module 144, floor plan module 146 and base modules 148.Data input module 138 comprises series of forms for the input of client production usage data and data entry field.In certain embodiments, client production usage data is manually inputted by user, but what those skilled in the art will appreciate that is that such data can automatically be transmitted or by the generation such as client records, invoice.
The data that client synchronization module 140 sends data to server 102 and receives from server 102.In certain embodiments, client synchronization module can comprise software module.In certain embodiments, client synchronization module 140 manages the wireless network storehouse performed on client computer 106.In certain embodiments, the record newly inputting data is saved in client computer 106 and performs synchronizing function when being connected with server 102 by client synchronization module 140.Those skilled in the art will appreciate that various wired and wireless method product usage data being synchronized to server 102 from client computer 106.
Client computer 106 also comprises Pre-Evaluation module 142, measurement module 144, floor plan (floorplan) module 146 and base modules 148.Each module in these modules all allows the input using the concrete data type be associated with product.Composition graphs 2-5 more fully describes these data types.
Fig. 2 is the process flow diagram describing the method 200 used for optimizing product.Method 200 represents the embodiment assessing the realization of the server evaluates 126 of software 118 binding operation with client.Method 200 starts from step 202 and proceeds to step 204.
In step 204, method 200 stores company information.The PPE demand that company information comprises incorporate classification levels and is associated with each rank.Then, method 200 proceeds to step 206.In step 206, method 200 receives the reference data describing and use for the current production of incorporate each rank.Reference data description uses with the current device of user puts into practice relevant information, because they are present in the beginning of assessment.Reference data can relate to the such as function such as cost-performance, injury minimizing, SKU minimizing, control information, training information, best practices benchmark.The waste material rank that reference data comprises the most current cost spent on PPE, the multiple SKU injuring statistics and current use, training practice, PPE control program and starts in investigation.This information will become benchmark, for this benchmark, can measure possible saving and the mode as the ongoing actual augmentation of tracking.Then, method 200 proceeds to step 208.In a step 208, based on company information and reference data, method 200 carries out analyzing to determine that the optimization of multiple product uses.Analyze and the PPE demand of reference data and application is compared and locks improved confinement.Optimizing use is not find the best PPE coupling for application simply; Except the impact of the new price point of the PPE of suggestion, analysis and assessment come from because suggestion PPE uses the impact of cost savings of the injury minimizing caused, the PPE control program of improvement, the waste material rank of reduction, the training program of improvement.Owing to coming from the injury of minimizing or the saving of better control program in the life-span extending PPE, optimize and use and can be merged into making the PPE be more suitable for of the final more high price lattice point saved in client.
In certain embodiments, each application has multiple characteristic, and each characteristic has the ratings of the rank required by this characteristic.Although five characteristics discussed herein, those skilled in the art will realize, and the characteristic used is not limited to those embodiments discussed herein.In addition, although the hierarchical system of 0-10 discussed herein, those skilled in the art will realize the various hierarchical systems that can be used in evaluating characteristic.In one embodiment, hierarchical system is the digital ratings of 0-10.In this embodiment, such as, application requires the following rank of following each characteristic:
Chemical-resistant 8
Cutting resistance 4
Resistance to crashing 7
Flexible 2
Inflammability 1
Each product has the ratings (rating) of many multiple characteristics identical with application, and each characteristic has the ratings of the rank provided for this characteristic.In this embodiment, such as, product A, product B and products C provide the following rank of following each characteristic:
Product A Product B Products C
Chemical-resistant 7 9 2
Cutting resistance 1 5 4
Resistance to crashing 9 1 7
Flexible 7 7 3
Inflammability 5 8 1
Application distribution and product analysis compare.Neither one perfectly mates, but which kind of characteristic application can specify be higher priority.Such as, if chemical-resistant and resistance to crashing are limit priority, then product A will be selected.If chemical-resistant and cutting resistance are limit priority, then product B will be selected.Even if products C enjoys identical ratings for most of characteristic, but will not selected because in products C limit priority, namely chemical-resistant is insufficient.
Then, product is selected compare with reference data, thus guarantee that realizations improves by suggestion, consider company and reference data, such as answer multiple employees of use, the test life-span of product, the impact etc. for injury or SKU minimizing.Method 200 proceeds to step 210.In step 210, method 200 generates product based on determined optimization use and uses suggestion.Method 200 proceeds to step 212 and terminates.
Fig. 3 is the process flow diagram depicting the method 300 used for calculation optimization product.Method 300 represents the embodiment assessing the realization of the server evaluates software 126 of software 118 binding operation with client.Method 300 starts from step 302 and proceeds to step 304.
In step 304, method 300 allows logging in system by user.In certain embodiments, particular user login identifier is associated with the various clearance levels of system.Such as, user logs in and can be classified as " power user " or " keeper " login, allows them to add or revises the license for other user.User's login can report with concrete device analysis or Field Research is associated.Such as, user be provided with user login name, it only allows user to perform the operation relevant with the data about intrasystem its oneself facility.In certain embodiments, the data subset of user-accessible specific user or the data of multiple user.Such as, sales employee may have access to the data of each user that he supplies, or sales employee can be only the user with multiple facility and supplies individual facilities, and therefore can only access individual facilities data.
After execution register, method 300 proceeds to step 306.Within step 306, user selects from multiple task, comprises the request report in the data syn-chronization in step 308, the input of the data in step 316 or step 328.If user selects synchrodata, then method 300 proceeds to step 308.If user selects to input data, then method 300 proceeds to step 316.If user selects request report, then method 300 proceeds to step 328.
In step 308, client computer 106 and server 102 synchrodata.As above as described in composition graphs 1, synchronous process can realize via multiple method well known in the art, comprises wired and wireless communication, removable storage transmission, such as BLUETOOTH local interconnection, etc.When client computer 106 sends data to server 102, method 300 proceeds to step 310.In the step 310, server 102 through by mentioned earlier and the process of composition graphs 1 perform the synchronous operation with client.Method 300 proceeds to step 312 and continues synchronous as required.After the synchronization completes, method 300 proceeds to step 314 and terminates.
If user selects data entry operation within step 306, method 300 proceeds to step 316.In step 316, method 300 allows the input of Pre-Evaluation data.The example of Pre-Evaluation data comprise user profile is input in system with create measurement, must the data of description floor plan of its input reference corresponding and assessment data, etc.After input Pre-Evaluation data, method 300 proceeds to step 318.
In step 318, method 300 allows the input of reference data.As mentioned above, reference data description uses with the current device of the user when measuring and puts into practice relevant information.Reference data can relate to the such as function such as cost-performance, injury minimizing, SKU minimizing, control information, training information, best practices benchmark.Composition graphs 7A and Fig. 7 B further describes concrete reference data.
In step 320, user performs the measurement of one or more facilities of user.Measure a series of modules of the comparison between reference data and possible cost-saving measure representing and be created on and limit in step 318.Composition graphs 6 and Fig. 9-14 carry out describing module in further detail.After establishment is measured, method 300 proceeds to step 322.
In step 322, method 300 is assessed.Evaluation form shows in step 320 by measuring the contingent change of current base data of collecting in step 318 in the module that limits.Then, the data coming from assessment are sent to server 102(such as in step 308 via synchronous process), and method 300 proceeds to step 324.
In step 324, method 300 performs data processing and measure 125 in the middle of generating one group, and it uses analysis report for generating product.After data in process assessment, method 300 proceeds to step 326.
If user selects option with request report within step 306, method 300 proceeds to step 328.In step 328, request is sent to server 102 and uses analysis report to generate product by client.The report generated in this way is by the data genaration of high-speed cache or supply before.Then, method 300 proceeds to step 326, wherein creates report by server 102.
In step 326, while utilizing product data 122 and application data 124, method 300 generates product based on performed assessment and uses analysis report.After the report is generated, method 300 proceeds to step 330.
In a step 330, report is sent to client computer 106 by server 102.Although exemplary method describes send report after the report is generated, those skilled in the art will appreciate that the present invention also allows report to be stored on server 102.Then, report can be sent to independent client computer, directly accesses on the server, is passed to removable memory storage, prints, etc.When report is sent, method 200 proceeds to step 332.In step 332, client computer 106 receives report.Then, in step 324, client computer 106 shows report.Method 300 terminates in step 336.
Fig. 4 is the process flow diagram depicting the method 400 of input Pre-Evaluation data according to embodiments of the invention.Method 400 represents an embodiment of the realization of Pre-Evaluation module 142.Method 400 starts from step 402 and proceeds to frame 404, wherein limits user.In frame 404, in step 412, user is carried out judging determining whether as new or existing.If user be present in be saved in client computer 106 or server 102 data in, then method 400 proceeds to step 414.If user is new, then method 400 proceeds to step 416.
In step 414, method 400 loads the existing information relevant with user.Then, method 400 proceeds to step 416.
In step 416, method 400 points out input to describe the information of user.If user is existing user, then this information may increase, and user can edit it.User profile can comprise Business Name, the contact details of address, such as telephone number and/or Email, communication center through qualification, industrial circle, previous invoice, login name, the access right distributing to login name and/or similar information with user.These access rights determine that the data of which type are that user can check.After user profile input, method 400 proceeds to frame 406.
Frame 406 is broadly relevant to the definition of the actual plane arrangenent diagram for specific assessment.When judging floor plan as new floor plan or existing floor plan, frame starts from step 418.If floor plan is new, then method 400 proceeds to step 422.If floor plan is existing, then method 400 proceeds to step 420.
At step 420 which, the information inputted for this floor plan before method 400 access.After the information of preserving before access, method 400 proceeds to step 422.In step 422, method 400 provides the input of floor plan information, such as describes the information of products application of company, corporate department, area, factory, section office, region, circuit and set floor plan.Client floor plan information can be provided during Pre-Evaluation or use to will be evaluated the similar predefine template in place.Composition graphs 5 further describes the hierarchic design of floor plan graph structure.
In step 422 after input plane arrangenent diagram information, method 400 proceeds to step 408.In a step 408, method 400 creates floor plan based on the information of input in frame 404 and 406.After establishment floor plan, method 400 ends at step 410.
Fig. 5 depicts the block diagram of the floor plan graph structure 500 mentioned at the frame 406 of Fig. 4.Floor plan graph structure 500 provides container and the data structure of the assessment data for collecting.Floor plan graph structure 500 is rendered as classification tree structure usually.Tree top be one group of company information 502.Company information 502 describes the appreciation information relevant with the whole company carrying out assessing.Company information 502 can link to one or more groups department information 504 further.Department information 504 accommodates the information of the set department in description company.Department can comprise given product line, concrete comprehensively all subsidiary companies or any other method for dividing company.Department is become area by Further Division.Area normally carries out defining with geographic position, but it will be appreciated by the skilled addressee that and can also carry out departmentation based on other standards such as such as healthy networks.In description department, the data in each area are organized into one group of regional information 506.
Each area comprises one or more factory.Factory is defined as the independent place in area, such as industry, research or manufacturing facility.Factory can be associated with concrete activity.If fruit product is healthy relevant, such as check or surgical glove, factory then can comprise the office of hospital, clinic or doctor.The information describing the factory in area is included in one or more groups plant information 508.One or more section office are had in each factory.Plant information 508 is thus by Further Division Cheng Duozu section office information 510.Each section office can comprise the multiple regions described by area information 512, and each region of section office can comprise many circuits described by product information 514.Concrete circuit has one or more products application, and it is defined within a set product application message 516.Each difference being applied as PPE uses.Although there are multiple ranks available in floor plan, user carries out operation by the rank relevant with assessed place.Simple application assessment only can need three ranks, such as, and the application of of company level, section office's level and section indoor.
As composition graphs 4 describes, during the Pre-Evaluation stage, define each classification levels.Then, what describe at composition graphs 3 determines the assessment data obtaining each element for floor plan in benchmark and evaluation process process.In other words, the container of Pre-Evaluation process definition floor plan graph structure, and the data in evaluation process definition container.Each classification levels of tree can have multiple element, described by with reference to element 518, represents the next element being in tree at the same level.
Fig. 6 depicts the process flow diagram of the method 600 for input reference data according to embodiments of the invention.Method 600 represents an embodiment of the realization of base modules 148.The client terminal device 106 that method 600 is usually described by composition graphs 1 adopts, with collect be sent to server 102, for generating the data of equipment use analysis report.Method 600 starts from step 602 and proceeds to step 604.In step 604, method 600 allows user to select to organize rank, each classification levels of the floor plan graph structure that such as composition graphs 5 describes.After selection tissue class, method 600 proceeds to step 606.In step 606, selection reference class.According to which benchmark class of selection, method 600 proceeds to step 608, step 610, step 612, step 614, step 616, step 617 or step 618.
In step 608, if alternative costs performance data in step 606, the data that method 600 allows input relevant with the product of current use.Current use information comprises used each product, purchasing price, the size used, washing cost, on-hand inventory etc.Current use information for the quantity of gloves, the total cost/amount of each section office that calculate each man-hour, each PPE, the amount expended every year, employee use every day, etc.These meterings can be used for saving qualification, to save may be inventory requirements owing to reducing, the washing of product, replace the durability of the enhancing of product, replace the cost of reduction of product, etc. bring.Such as, which product is cost-performance data indicate washed or only abandoning at present.As another example, the instruction of cost-performance data is saved because the standardization of products is brought, the elimination of such as replicated product.The method manufacturing cost that data processing module 132 use cost performance data is come to describe according to composition graphs 9 is analyzed.After permission input cost-performance data, method ends at step 622.
In step 610, method 600 allows input injury to reduce data.Injury reduces data and comprises with the type of injury of given time frame recording.To comprise body part influenced for injury details, such as arm, hand or finger, and such as tear, the type of injury such as amputation or scratch.Except the cost, total working daily loss or restriction etc. of injury, record injury quantity.Data processing module 132 uses injury minimizing data to come to generate to injure to reduce by method described in conjunction with Figure 10 to analyze.After permission input injury reduces data, method 600 ends at step 622.
In step 612, method 600 allows input SKU to reduce data.SKU reduces data and comprises the data describing the presently used product inventory of user.SKU reduce data comprise on-hand inventory amount and with the cost carrying this stock and be associated.This comprise storage and maintenance stock cost, based on buy current Days In Inventory in the cost of the current capital interest rate that is associated of on-hand inventory, factory's stock.In certain embodiments, SKU reduces data and cost-performance data overlap.Data processing module 132 uses SKU to reduce data and generates SKU minimizing analysis by the method described in conjunction with Figure 11.After permission input SKU reduces data, method 600 ends at step 622.
In step 614, method 600 allows input control information.Control information data be with its in the factory time PPE the relevant data of the management of life cycle.This comprises the current data of practice for performing dispensing, use, washing, recycle and treatment procedures of description company.Data processing module 132 uses control information data to generate control analysis by the method described in conjunction with Figure 12.After permission input control information data, method 600 ends at step 622.
In step 616, method 600 allows input training information.Training information comprise describe for product selecting properly, use and dispose the information to company's present practice that employee gives training.Data processing module 132 uses training information to come to generate training analysis by method described in conjunction with Figure 13.After permission input training information, method 600 ends at step 622.
In step 617, method 600 allows input processing waste information.Processing waste information comprises the information that may have the region of waste material of description company.These comprise the defect of the product that the selection PPE owing to not too optimizing in coupling, comfort level and safety and wear life causes company to manufacture.When a circuit is than when can use next circuit of gadget to produce this gadget quickly, cause the cost using extra floor space owing to crossing production.Input is with acquisition and dispose the transportation cost that PPE product is associated.This relates to and the stop time needing the employee changing PPE to be associated.Such as, if gloves have the life-span of four hours, then employee needs in working hours, change these gloves.Employee can be inputted notify work, commute gloves dispensing and the time needed for disposal area.And, exist with wait in line that PPE provides and delivers that the cost be associated, the cost be associated with the floor space shared by PPE product inventory, the quantity of ergonomics health and safety event and each workman wear the clothes/undress on average can the make-up time.Data processing module 132 uses processing waste information to generate processing waste analysis by the method described in conjunction with Figure 14.After permission input processing waste information, method 600 ends at step 622.
In step 618, method 600 allows input out of Memory.Out of Memory can comprise not directly related with concrete module and still use with product and analyze relevant information.Such as, which problem types out of Memory can indicate affecting current production and use, and such as weares and teares, pollutes, infects and/or similar information.Out of Memory can also comprise the data relevant with the validity of current use product, time and sport efficiency and/or supply chain problem.Out of Memory can also comprise manage with OSHA(Occupational health and safety) data that are associated of regulation accordance.After inputting out of Memory, method 600 ends at step 622.
Fig. 7 A and Fig. 7 B depicts the exemplary tables of data comprising the input information for generating product use analysis report according to embodiments of the invention.Table 700 and 708 comprises the data of specific PPE product, the various factors about product and the Csr Practice for the management of product that description company uses.About the frequency of the mean lifetime that is PPE of the example of the factor of product, washing PPE and relevant cost (if any), the size that uses, etc.Such as, manufacturer's experience that the mean lifetime of product should last long based on observation and the product of company's facility is determined.This value can be used as the benchmark of user test.These factors are examples of the different pieces of information relevant with storable product.But, it will be appreciated by those skilled in the art that the information that can use various ways.According to the method described by composition graphs 9, Figure 11 and Figure 12, such data are respectively used to manufacturing cost performance report, SKU reduces report and control information report.
Table 702 and table 704 comprise the data being described in the various injuries that measure field has occurred.According to method described in conjunction with Figure 10, these injury data are for generating injury analysis report.For the product that health is relevant, these tables can increase for the injury rate of medical worker and/or patient and/or the infection rate that causes from hospital.
Table 706 comprises the data of the training practice in the place measured by description.According to method described in conjunction with Figure 13, training data is for generating training analysis report.
Fig. 8 depicts the block diagram of the exemplary product analysis report 800 generated according to embodiments of the invention.In the middle of a group that each analysis module has generated such as middle metering 125 described in conjunction with Figure 1 after metering, create product analysis and report 800.Composition graphs 9-14 further describes the method that analysis module generates these data.Product analysis reports that 800 comprise best practices assessment 802, financial influence 804, product use general view 806, injury (or infection) analysis 808, implementation plan 810 and annex 812.
Best practices assessment 802 provides the broad overview of the current accordance level with the best practices be associated with each analysis module.Such as, best practices assessment can give the level of ratings company's (that is, Company plants) reduces to(for) its current SKU, in other words, uses the different product optimizing quantity to meet the company of its demand.Company is more close to this optimization quantity, and ratings is higher.For each module selected by measurement, provide similar best practices mark.In certain embodiments, ratings is by the best practices mark equalization in best practices assessment being calculated, as further described.In certain embodiments, best practices assessment can also allow himself performance of business valuation studies to compare with the mark generated with analysis module.
During best practices assessment 802, each evaluation module has the best practices of a series of correspondence.The frequency of each best practices is implemented in each best practices mark instruction.Best practices mark is that scope is indicating the numerical value between the fixed value always occurred from nonevent fixed value and instruction.Such as, best practices mark can not observe enforcement one (1) for representing, represent implement once in a while two (2), represent often implement three (3), and represent always implement four (4).In these examples, best practices assessment 802 can perform as follows, and wherein calculating average amount definite value is 1.8:
Product analysis report 800 comprises financial influence 804 further.Financial influence 804 describe due to adopt by selected to perform the analysis module measured the best practices that calculates and the possible cost savings brought.Financial influence 804 can comprise overall cost savings and the detailed catalogue for each analysis module.Such as, financial influence 804 may show, the cost savings of $ 314,000 are possible.At this $ 314, in 000, $ 193,000 may come from reduction from use the injury risk that is associated of different PPE product, $ 47,000 may from use different washing procedures to clean and re-use PPE product to be associated, etc.
Product analysis report 800 comprises product further and uses general view 806.Product uses general view 806 to describe the PPE product of the current use of company, use the PPE product of the amount of these products and proposed alternate sets.
If have selected injury module for measurement, then product analysis report 800 can also comprise injury analysis 808.Injury analysis 808 describe particular type institute report injury quantity, and estimated service life product use general view 806 in proposed by alternate device by the quantity of contingent injury.
Product analysis report 800 also comprises implementation plan 810.Implementation plan 810 describes change for implementing to describe in financial influence 804 to be switched to the timetable using the proposal of the product of the alternate sets described in general view 806 at product.
Product analysis report 800 also comprises annex 812.Annex 812 comprises that one or more application gathers 814, one or more product index 716 and one or more assessment response 818.Application gathers 814 for using the description of new product of the various tasks of PPE of proposing, the current production for task and the proposal for task.Product index 816 uses the proposal proposed in general view 806 to change the detailed product page of the characteristic of product for being described in product.Assessment response 818 for company (such as employee of company) for the quality of the current PPE type of company with use the response of assessment request of filling.
Fig. 9-14 describes each analysis module can generate middle metering 125 to be used the method generating report 127 by data processing module 132.Although process flow diagram is depicted as generating the discrete method analyzed separately, those skilled in the art will appreciate that many factors can be used for generating the preferred plan of replacement of products.Such as, the cost-benefit product of most also may represent the injury risk of increase, will represent overall saving to make the cost-benefit product of next most.In this case, data processing module 132 can advise that less cost-efficient product generates the overall saving of major part.This process is further described in conjunction with Figure 15.
Fig. 9 depicts the method 900 of the cost-performance analysis report according to embodiments of the invention.Method 900 represents an embodiment of the realization of cost-performance module 150.In certain embodiments, manner of execution 900 can be carried out by cost-performance module 150 as described in connection with fig. 1.Method 900 starts from step 902 and proceeds to step 904.In step 904, the application that is associated with particular measurement of method 900 inspection.Method 900 determines which kind of minimum characteristics the minimum performance characteristic of execution application and which application have.Then, method 900 proceeds to step 906.
In step 906, method 900 determines the cost-benefit PPE solution of most of the demand met as the application determined in step 904.In certain embodiments, the Performance Characteristics that is associated with each enabled production of cost-performance module 150 inspection.Use the Pre-Evaluation data that the description current task that inputs in the diagram requires, these are required to describe to differentiate with composition graphs 1 that the enabled production Performance Characteristics differentiated in the product data of one or more optimal representation product and application data compares by cost-performance module 150.In order to determine the cost-benefit solution of most, the gloves quantity that analysis and assessment each man-hours, each PPE, annual cost, employee use every day, and wash PPE and safeguard the cost of stock of PPE.The cost-benefit product solution of most can improve cost of products, but those may be controlled to offset by some, such as washing, recycle, maintenance etc.Current product can be substituted preventing more expensive product better in injury and realize overall cost savings.Method 900 ends at step 908.
Figure 10 depicts the method 1000 reducing analysis report for generating injury according to embodiments of the invention.Method 1000 represents an embodiment of the realization of injury module 152.In certain embodiments, method 1000 performs by injury module 152 as described in connection with fig. 1.Method 1000 starts from step 1002 and proceeds to step 1004.In step 1000, method 1000 inspection injures with the report be associated when pre-test.Such as body part is influenced, such as arm, hand or finger and such as tear, the injury details of amputation or abrasive type of injury can be used in determining which kind of injury associates with the fault phase of specific products.Such as, because user finds that product is uncomfortable and therefore remove this product to perform hot mission, so set injury may be there is, or because product is not suitable for particular task, so may injure.The consequential injury cost of such as treating the production time loss of the direct injury cost of the medical treatment cost of injury and such as injured employee is included in assessment.Then, method 1000 proceeds to step 1006.In step 1006, method 1000 is determined if the estimation of the injury quantity adopting different product solution to prevent.In certain embodiments, injury prevention is estimated task based access control type and is considered the risk be associated of performance capability of new product and cause of injury and seriousness.Such as, the PPE needing the bandage of $ 0.08 to cover the scratch of the employee of 1% to point is made to use the gloves that suggestion can not be made more expensive, because based on seriousness and the cost of solved injury, reducing with injury the saving be associated will not have cost benefit.But when injuring more serious, such as cause the crushing of rupture of finger to injure, more expensive gloves can have cost benefit because the injury cost reduction that caused by the PPE owing to being more suitable for of the increase of gloves cost offset.Damaging of task is mated with the injury prevention product be applicable to by method 1000 usage data library inquiry.After determining to estimate for the injury prevention of various product solution, method 1000 ends at step 1008.
Figure 11 depicts the method 1100 reducing analysis report for generating SKU according to embodiments of the invention.Method 1100 represents that SKU reduces an embodiment of the realization of module 154.In certain embodiments, method 1100 performs by SKU minimizing module 154 as described in connection with fig. 1.Method 1100 starts from step 1102 and proceeds to step 1104.In step 1104, method 1100 is determined and the minimum PPE requirement of measuring the application be associated, such as minimum strength, flexibility, safe ratings and the similar requirement be associated with the various tasks performed at facility place.
Then, method 1100 proceeds to step 1106.In a step 1106, method 1100 determines the minimum data of the different product type needed for all requirements meeting various application.Such as, this determines to comprise: for two similar tasks, use the product of identical type, even if a task has lower slightly requirement, because the minimizing of stock product SKU quantity can make cost savings, even if use more expensive product.After carrying out SKU and reducing analysis, method 1100 ends at step 1008.SKU minimizing is divided into saving parts.First, method 1000 determines the Key Performance Indicator (KPI) reducing SKU quantity.By checking minimum and maximum inventory level, method 1100 calculates and carries cost and the cost for purchase on credit product.Reduce the capital cost that user needs the amount of the product stored to reduce inventory level and take in this stock.
Figure 12 depicts the method 1200 for generating control information analysis report according to embodiments of the invention.Method 1200 represents an embodiment of the realization of control module 156.In certain embodiments, method 1200 performs by control module 156 as described in connection with fig. 1.Method 1200 starts from step 1202 and proceeds to step 1204.In step 1204, method 1200 checks the current control practice at facility place.Control the management that practice describes the life cycle of the PPE when PPE is in factory.Such as, control the type of practice can to comprise product delivery to time, the whether cleaning product needed for the method for employee and dispensing reusing, whether recycle abandons product, disposal technology subsequently, etc.
After determining current control practice, method proceeds to step 1206.In step 1206, method 1200 determines the effect that various change is put into practice for field control, and the different choice that the PPE substituted proposes.Such as, given substitute products may be can to wash or maintainable, and original product is not such, owing to reusing product, makes cost savings.Method 1206 can also the washing of test replacement, maintenance, recycle, disposal and distribution technique effect.Such as, control module 156 receives and indicates the user of the cycle index being used for cleaning product input and perform financial calculations to determine possible cost savings.As another example, control module 156 defines employee and controls, and wherein current before receiving new product product is returned to supervisor place and determines that the use of 10 (10) reduces.If current product is gloves, everyone two (2) dollars buy 100 pairs, and annual cost will be 200 dollars.By reducing by the use of 10, ten width gloves do not need to buy, and make annual total saving be 20 dollars.When to analyze alternative control and put into practice, method 1200 proceeds to step 1208 and terminates.
Figure 13 depicts the method 1300 for generating training practice analysis report according to embodiments of the invention.Method 1300 represents an embodiment of the realization of training module 158.In certain embodiments, method 1300 performs by training module 158 as described in reference to fig. 1.Method 1300 starts from step 1302 and proceeds to step 1304.In step 1304, method 1300 analyzes one group of current training practice as adopted for the product of current use about the company of Fig. 6 input.Then, method 1300 proceeds to step 1306.In step 1306, method 1300 is determined to change the impact on place training practice.When substituting training practice by analysis, method 1300 proceeds to step 1308 and terminates.
Figure 14 depicts the method 1400 for generating processing waste analysis report according to embodiments of the invention.Method 1400 represents an embodiment of the realization of processing waste module 159.In certain embodiments, method 1400 performs by processing waste module 159 as described in connection with fig. 1.Method 1400 starts from step 1402 and proceeds to step 1404.In step 1404, method 1400 checks the current processing waste stipulations as the facility place about Fig. 6 input.The defect of the product that the processing waste PPE comprised owing to not optimizing for the suitability of task selects the facility caused to manufacture.Other processing waste comprised the quantity of the special floor space of production, transportation cost, stand-by period, PPE product inventory, ergonomics health and safety event, and each workman wear/take off on average can the make-up time.Then, method 1400 proceeds to step 1406.In step 1406, method 1400 determines that change that PPE selects is on the impact of processing waste.This can comprise whole stipulations of the change of wearing/taking off stipulations, the stipulations of supplementing gloves, disposal gloves, and all these can make workman minimize stop time.When substituting processing waste stipulations by analysis, method 1400 proceeds to step 1408 and terminates.
Figure 15 depicts the method 1500 for generating product analysis report according to embodiments of the invention.Method 1300 represents an embodiment of the realization optimizing module 160.In certain embodiments, method 1500 performs by optimization module 160 as described in connection with fig. 1.Method 1500 receives input data from one or more modules of the method performed described by Fig. 9-13.The all modules that it will be appreciated by the skilled addressee that described in Fig. 9-13 can be used for generating product analysis report, or the subset of only module.In certain embodiments, the data that these methods generate are rendered as independent report, and these reports are presented in product analysis report individually.In certain embodiments, data are received as one group of middle metering.This exemplary embodiment hypothesis of method 1500, described data are set to described middle metering.
Method 1500 starts from step 1502 and proceeds to step 1504.In step 1504, method 1500 receives one group of input information from one or more analysis module.After receiving input information, method 1500 proceeds to step 1506.In step 1506, according to the input information received in step 1504, method 1500 determines that optimizing product configures.Such as, method 1500 can check that SKU reduces analysis to determine that the demand of facility can be combined in the various combinations of product to limit the total quantity of SKU.Then, report can be reduced for the injury of each SKU and compare these combinations to determine for given combination the overall cost savings of both injury and SKU minimizing.This comparison shows that SKU reduces the effect reduced injury.Crosscheck can also be carried out to these various combinations, such as cost-performance analysis, control information analysis and/or training practice analysis for other analysis module data.Such as, this crosscheck can be determined, some tasks are exposed to danger by low SKU minimizing, and high SKU minimizing adds cost or causes training chaotic.It will be understood by those skilled in the art that the various methods determining prioritization scheme can perform based on available information and computing power.
After determining optimizing product configuration, method 1500 proceeds to step 1508.In step 1508, the best practices that method 1500 adopts for the configuration of selected optimizing product generates overall cost savings information.Then, overall cost savings information and selected optimizing product are configured for and generate product use analysis report 700.
Method described herein also can be applicable to medical field.Common danger under surgical environments comprise blood borne pathogens, latex allergia, laser danger, hazardous chemicals, equipment danger, radiation irradiation, tuberculosis, etc.The PPE of medical field comprises medical gloves, face shield, eyeshade, coat and coverlet and other operation peripheral unit.
The optimization calculating medical PPE uses and incorporates for calculating the factor optimizing use in industrial PPE field, and other security parameter can be merged in optimization use calculating, such as patient and employee injury and the infection caused in hospital.
In various embodiments, method described herein realizes with software, hardware or its combination.In addition, the order of method can change, and various element can add, reorders, combines, omits, amendment etc.All examples described herein present in a non-limiting manner.Various amendment and change can be carried out, because it is apparent for benefiting from those skilled in the art of the present disclosure.Under the background of specific embodiment, described the realization according to embodiment.These embodiments are intended to exemplary and unrestricted.Many modified examples, improvement, interpolation and raising are possible.Therefore, for the parts being described as single instance herein, Multi-instance can be provided.All parts, border between operation and data warehouse slightly arbitrarily, and show specific operation under the background of concrete example arrangement.The distribution of other function is expected and can drops in the scope of the claim of enclosing.Finally, the 26S Proteasome Structure and Function being rendered as discreet component in example arrangement can be embodied as unitized construction or parts.These and other modified example, amendment, interpolation and improvement can drop in the scope of the embodiment limited as claim of enclosing.
Relating to embodiments of the invention although describe above, it is conceivable that going out other and other embodiment of the present invention, and do not depart from its base region, and its scope is determined by the claims of enclosing.

Claims (9)

1. calculate a computer implemented method for personal safety equipment suggestion, comprising:
Company information is stored as the floor plan comprising incorporate multiple classification levels and the personal safety equipment needs relevant to each rank;
For at least one application of the personal safety equipment in described company organization, store the multiple reference datas describing current personal safety equipment and use, wherein, described multiple reference data comprises at least one item in cost-performance data, SKU minimizing number or processing waste data;
Analyze based on described company information and described reference data, the described characteristic of at least one application and the characteristic of multiple personal safety equipment compare to identify selected personal safety equipment by wherein said analysis, and described analysis provides the prioritization of the importance of at least one multiple characteristic required by application described, the characteristic of selected personal safety equipment and described reference data are compared determine that the personal safety equipment selected by which improves described reference data, wherein, described analysis comprises at least one item in financial influence analysis or personal safety equipment use general view analysis, and
Based on the personal safety equipment improved selected by described reference data, personal safety equipment suggestion is generated by making purpose processor, wherein, described personal safety equipment suggestion comprises the personal safety equipment configuration based at least one application described in determined improved confinement.
2. the method for claim 1, wherein described classification levels comprises at least one item in company, department, area, factory, section office, region, circuit or products application.
3. the method for claim 1, wherein described reference data also comprises:
Input injury reduces at least one item in data, inventory control data or training information.
4. the step of the method for claim 1, wherein carrying out described analysis comprises:
Database root for personal safety equipment data and application data assesses described reference data according to company organization, and determines the improved confinement of at least one application described.
5. the method for claim 1, wherein described analysis also comprises at least one item in best practices assessment, injury analysis or implementation plan.
6. the method according to any one of claim 1-5 is realized by computer instructions on the one or more processors.
7., for calculating a system for personal safety equipment suggestion, comprising:
Client computer, have and assess software module for inputting the client using relevant client-side information with personal safety equipment, wherein, company information can be input as the floor plan comprising incorporate multiple classification levels and the personal safety equipment needs relevant to each rank by described client assessment software module, and can be the reference data of the current personal safety equipment use of at least one application input description of the personal safety equipment in described company organization, and best practices data can also be inputted, wherein, described reference data comprises cost-performance data, SKU reduces at least one item in number or processing waste data, and
Server, is connected with described client computer by network, and has server evaluates software module, for:
Analyze based on described company information and described reference data, the described characteristic of at least one application and the characteristic of multiple personal safety equipment compare to identify selected personal safety equipment by wherein said analysis, and described analysis provides the prioritization of the importance of at least one multiple characteristic required by application described, the characteristic of selected personal safety equipment and described reference data are compared determine that the personal safety equipment selected by which improves described reference data, wherein, described analysis comprises at least one item in financial influence analysis or personal safety equipment use general view analysis, and
Based on the personal safety equipment improved selected by described reference data, generate personal safety equipment suggestion, wherein, described personal safety equipment suggestion comprises the personal safety equipment configuration based at least one application described in determined improved confinement.
8. system as claimed in claim 7, wherein, described server stores personal safety equipment product data file and application data file.
9. system as claimed in claim 7, wherein, described server evaluates software also comprises:
Cost savings are generated based on described personal safety equipment configuration.
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